본 연구는 19세기 후반과 20세기 초반에 한국에서 활동한 외국인 선교사들이 편찬한 5종의 영한 사전에 나타난 질병명을 분석한다. 이 근대이중어사전들의 질병명은 서구 과학 지식이 동아시아로 급속히 유입되면서 한국에서 새로운 의학 용어의 필요성 을 반영한다. 질병명의 정확한 번역은 공중 보건에 중요했으며, 당시의 의학 지식과 인식 을 반영하기 때문이었다. 본 연구는 5개 근대영한사전을 개요하고 46개의 질병어를 선택 한 기준을 기술했다. 또한, 전염병 관련 질병명이 다수를 차지하는 이유를 당시의 정부의 전염병 예방 규칙 과 관련하여 살펴보았다. 또한 1925년 사전에 새로 추가된 용어, 과거 와 현재 질병명의 공존을 조사한다. 아울러, 고유어 번역, 1925년 사전과 현대 사전 간의 번역 연속성, 현대에서 음역된 질병명 등의 분석을 통해 문화적, 사회적 맥락을 탐구한 다. 이 연구는 한중일 질병명의 역사적 변천과 상호 교류를 근대이중어사전을 통해 제시 하였다.

이 글은 한국어 학습을 위한 웹 기반 한자 사전 모델을 제시하기 위한 것이다. 중국 문화권 학습자를 대상으로 한 이 연구에서는 웹 기반 한자 사전의 필요성을 확인하고 기존 사전의 한자 단어 학습의 문제점 을 분석하였다. 한자 단어 학습 시 한자 원어 형태소 인식이 중요하다고 보고 이를 반영한 별도의 팝오버 (popover) 창을 개발하였다. 한자 사전의 미시구조에는 항목, 단어 유형, 발음, 한-베트남어 단어(있는 경우), 한자의 어원, 한-베 소리(voice)가 포함되며, 이밖에 베트남어 어원에 대한 설명, 한자의 원래 형태소 와 관련된 한-베 단어, 번역, 설명, 예시 등이 포함되어야 함을 밝혔다. 그런 다음, 한자어 형태소와 한자- 베트남어의 발음을 포함하는 어원 틀, 베트남어 및 한자어의 한자 형태소 의미를 포함한 웹 사전을 구성하 고 그 활용 방안을 보여주었다. 본 연구는 한자어 형태소와 관련된 베트남 단어에 대한 정보를 추가하고, 프로그래밍 기술, 데이터베이스 업데이트 과정, 300개 규모의 한자 사전 모델을 제시한 기초연구로써 이후 한국어 학습자를 위한 웹 한자 사전 구축에 보탬이 되고자 한다.

This study aimed to address the increasing demand for technologies preventing mushroom fly damage. By monitoring the annual occurrence patterns of pests over several years and accumulating data, we conducted an analysis to evaluate the efficacy of preventive measures applied before the surge in mushroom fly infestation, typically observed in May. For preemptive control, physical measures involved installing air curtains at cultivation facility entrances and placing sticky traps and insect traps around entry points to block external entry and reduce internal insect density. Additionally, we applied an organic agricultural material, Dalmatian chrysanthemum extract, weekly alongside chemical control measures. To assess the reduction in mushroom fly populations, yellow sticky traps (15×25 cm) were placed at three locations within the mushroom cultivation facility, and the occurrence patterns before and after implementing preventive measures were compared. Compared to conventional practices, the application of preventive techniques resulted in a significant reduction, with a 60% decrease from 15 levels of mushroom flies/m² to 6 levels of mushroom flies/m² in May and a 40% decrease from 10 levels of mushroom flies/m² to 6 levels of mushroom flies/m² in June. While achieving over 50% efficacy during the peak mushroom fly season with preventive measures, we identified complementary actions such as blocking external sources (gaps in cultivation facility doors) and maintaining cleanliness around cultivation facilities (proper disposal of spent substrate) for further improvement. Comprehensive analysis and safety studies, including correlation analysis with contaminants and pathogens, are recommended to ensure the widespread adoption of mushroom fly preventive techniques for safe and stable mushroom production in the agricultural sector.

Sentiment analysis is a method used to comprehend feelings, opinions, and attitudes in text, and it is essential for evaluating consumer feedback and social media posts. However, creating sentiment dictionaries, which are necessary for this analysis, is complex and time-consuming because people express their emotions differently depending on the context and domain. In this study, we propose a new method for simplifying this procedure. We utilize syntax analysis of the Korean language to identify and extract sentiment words based on the Reason-Sentiment Pattern, which distinguishes between words expressing feelings and words explaining why those feelings are expressed, making it applicable in various contexts and domains. We also define sentiment words as those with clear polarity, even when used independently and exclude words whose polarity varies with context and domain. This approach enables the extraction of explicit sentiment expressions, enhancing the accuracy of sentiment analysis at the attribute level. Our methodology, validated using Korean cosmetics review datasets from Korean online shopping malls, demonstrates how a sentiment dictionary focused solely on clear polarity words can provide valuable insights for product planners. Understanding the polarity and reasons behind specific attributes enables improvement of product weaknesses and emphasis on strengths. This approach not only reduces dependency on extensive sentiment dictionaries but also offers high accuracy and applicability across various domains.

Approximately 40,000 elevators are installed every year in Korea, and they are used as a convenient means of transportation in daily life. However, the continuous increase in elevators has a social problem of increased safety accidents behind the functional aspect of convenience. There is an emerging need to induce preemptive and active elevator safety management by elevator management entities by strengthening the management of poorly managed elevators. Therefore, this study examines domestic research cases related to the evaluation items of the elevator safety quality rating system conducted in previous studies, and develops a statistical model that can examine the effect of elevator maintenance quality as a result of the safety management of the elevator management entity. We review two types: odds ratio analysis and logistic regression analysis models.

Kimchi, a centuries-old Korean fermented food, has gained global popularity due to increased interest in Korean cuisine. However, little is known about the actual status of kimchi information provided by major foreign online encyclopedias. In this study, we analyzed the content and quality of kimchi information in major foreign online encyclopedias, such as Baidu Baike, Encyclopædia Britannica, Citizendium, and Wikipedia. Our results revealed that the kimchi information provided by these encyclopedias was often inaccurate or inadequate, despite kimchi being a fundamental part of Korean cuisine. The most common inaccuracies were related to the definition and origins of kimchi and its ingredients and preparation methods. Our findings highlight the need for more accurate and reliable information about kimchi in major foreign online encyclopedias. This is particularly important in the context of promoting Korean food culture and increasing international awareness of kimchi. To achieve this, the collaborative efforts of Korean food experts and online encyclopedias are needed to ensure the accurate representation of kimchi in these resources. In conclusion, our study shows that foreign online encyclopedias often contain incomplete, inaccurate information about kimchi. This shortcoming must be addressed to promote a more accurate and comprehensive understanding of kimchi and Korean cuisine.

Park, Eunha. (2023). “Perceptions of “Hwanhyangnyeo,” “Wianbu,” “Yang-gongju” Through Example Sentences in Korean Dictionaries and the Internet Articles“. The Sociolinguistic Journal of Korea, 31(2), 29-58. This study investigated and analyzed examples of three terms found in dictionary entries and internet articles to examine the perceptions of war and women in Korean society. A preliminary examination of dictionary entries found that one dictionary’s referred to “hwanhyangnyeo” as a stigmatized term, used to expression hatred toward women even after returning home post the war. In the example sentences of “wianbu,” in the dictionaries, the phrase “other expressions” was commonly used, which precisely conveyed or demanded facts. Entries regarding “wianbu, Japan, and the government’s expressions” generally portrayed a negative view of “wianbu” victims and related issues. Further, concerning the example sentences of “yang-gongju,” in dictionaries, the most frequently used entry depicted it as an “expression of other people’s perception of yang-gongju.” Except for other expressions conveying factual information, two negative expression types related to “yang-gongju” were identified. When examining the usage of these expressions in internet articles, entries related to “the government’s response” were found to be the most prevalent. For “hwanhyangnyeo,” articles most frequently focused on “the history of ‘hwanhyangnyeo’.” Regarding articles containing “wianbu,” primary topic of interest was “the expedition of the Girl Statue in German.” Finally, articles concerning “yang-gongju” commonly referred to “the poor life of ‘yang-gongju.’”

Recently, many studies are being conducted to extract emotion from text and verify its information power in the field of finance, along with the recent development of big data analysis technology. A number of prior studies use pre-defined sentiment dictionaries or machine learning methods to extract sentiment from the financial documents. However, both methods have the disadvantage of being labor-intensive and subjective because it requires a manual sentiment learning process. In this study, we developed a financial sentiment dictionary that automatically extracts sentiment from the body text of analyst reports by using modified Bayes rule and verified the performance of the model through a binary classification model which predicts actual stock price movements. As a result of the prediction, it was found that the proposed financial dictionary from this research has about 4% better predictive power for actual stock price movements than the representative Loughran and McDonald’s (2011) financial dictionary. The sentiment extraction method proposed in this study enables efficient and objective judgment because it automatically learns the sentiment of words using both the change in target price and the cumulative abnormal returns. In addition, the dictionary can be easily updated by re-calculating conditional probabilities. The results of this study are expected to be readily expandable and applicable not only to analyst reports, but also to financial field texts such as performance reports, IR reports, press articles, and social media.

최근 자기공명영상 획득을 위한 시뮬레이션 도구가 개발되어 오랜 시간이 소요되는 임상 연구를 대체할 수 있게 되었다. 이에 본 연구에서는 MRiLab 시뮬레이션을 사용하여 부가인자인 에코 시간의 변화에 따라 경사에코 펄스 시퀀스가 적용된 뇌 T2 강조 영상을 획득하여 영상의 신호 및 노이즈의 변화를 정량적으로 평가하고 경향성을 파악하고자 한다. 이를 위해 실제 MRI 장비를 기반으로 새롭게 개발된 MRiLab simulation tool을 사용하여 모든 파라미터를 같게 고정한 후 TE만을 20~95 ms범위에서 5 ms 간격으로 각각 설정하여 경사에코 펄스 시퀀스가 적용된 뇌 T2 강조 영상을 획득하였다. 획득된 영상들의 신호 및 노이즈 특성 변화를 정량적으로 평가하기 위해 신호대잡음비 및 대조대잡음비를 측정하였다. 결과적으로, TE가 증가할수록 SNR은 감소하고 CNR은 증가하는 경향을 보였다. 이는 TE가 증가할수록 관심 영역으로 설정된 뇌척 수액 신호는 일정하게 유지되는 반면 노이즈는 증가하였으며, 백그라운드로 설정된 백질의 경우 신호가 감소함과 동시에 노이즈가 증가한 것이 원인으로 분석된다. 결론적으로, 진단에 용이한 경사에코 펄스 시퀀스가 적용된 뇌 T2 강조 영상을 획득하기 위해서는 그 목적에 따라 적합한 TE를 설정하는 것이 중요함을 확인하였다.

최근 경주와 포항에서 발생한 지진피해 사례에서 보듯 조적벽체 및 필로티 구조물의 붕괴 위험이 사회적으로 큰 주목을 받고 있다. 본 연구는 명확한 내진설계지침이 없고 수평하중에 대한 내성이 구조적으로 매우 약하며 재난관리시설 중 지 진붕괴 위험이 높은 조적조 구조물에 대한 보강 설계 및 성능평가를 조사하였다. 기존 선행연구에서 발표된 FRP Plate의 외부 접착시 부착파괴의 문제점을 반영하여 부착력이 개선된 매립형 T-Joint BFRP Plate를 개발하였으며, 시공 시 에폭시 계열의 연성페인트를 활용하여 보강구조물의 연성을 개선하는 방법을 제안하였다. 최종적으로 수행된 정적 및 반복가력 실험을 통하여 보강시험체의 강성 및 에너지 소산능력이 각 1.23과 1.39배 증가함을 확인하였다.

PURPOSES : This study focuses on advance traffic information to prevent secondary traffic accidents on express highways. The purpose of this study is to analysis the optimal scenario by evaluating the effect of each advance traffic information scenarios using virtual driving simulation. METHODS : By designing traffic information scenarios and services with a combination of VMS and mobile PUSH notifications, driver behavior in the event of a traffic accident was analyzed. For this, a simulation environment was designed through engineering analysis. Through virtual driving simulation, the driver's deceleration point and the perception-reaction time are analyzed. RESULTS : Four scenarios were designed and reviewed so that VMS and mobile PUSH notification can be provided simultaneously after the driver drove for 5 km. As a result of driving with 30 drivers, the drivers reacted fastest when VMS was installed, followed by mobile PUSH notification, VMS+mobile PUSH notification, and NOTHING. CONCLUSIONS : When designing traffic information service, it was observed that providing information through VMS alone is more efficient than providing two services of traffic information. Therefore, it can be used as basic data for preventing secondary accidents on express highway.

Vietnam is a multi-ethnic country with many cultures, languages, and forms of texts that coexist independently and interactively. Among the Vietnamese ethnic minorities is the Tay, the most primarily populated one. Before the use of the Latinized script, the Tay people used to use Nom which is made up of the graphic, phonetic and semantic elements of Han characters. Currently, the cultural source of the Tay is one of the most precious cultural heritages of Vietnam. If we want to decode, research, explore and promote the values of this heritage, it is impossible not to have a good set of reference books, which are Nom-Tay (word-based and character-based) dictionaries. It is undeniable that the compilation of Tay-language dictionaries and texts has attracted interest, and been in implementation for about half a century, thanks especially to the government, research institutions, and generations of Vietnamese scholars. However, the achievements have not met the needs and utilization potential of the explored materials. With the extremely abundant resources of ancient Nom-Tay texts, with the proper attention and investment of the state and investment funds, and with researchers’ enthusiasm, the compilation of the Nom-Tay (word-based and character-based) dictionaries will, to be sure, attain remarkable achievements.

본 연구는 간호대학생을 대상으로 임종간호 관찰경험 여부에 따른 웰다잉에 대한 인식, 사전연 명의료의향서 지식 및 태도와의 차이를 파악하기 위해 시도되었다. 연구대상은 경기도, 충청도, 전라도 소재의 4년제 간호학과 대학생 321명을 대상으로 구조화된 설문지를 이용하여 자료수집을 하였다. 수집된 자료는 SPSS 25.0 program을 이용하여 기술통계, t-test, ANOVA, Scheffe' test, Pearson's correlation coefficient로 분석하였다. 연구결과 임상실습 중 임종간호 관찰경험이 있는 간호대학생이 관찰경험이 없는 학생보다 사전연명의료의향서에 대한 태도가 긍정적으로 나타났고 유의한 차이를 보였다(t=3.011, p<.003). 임종간호 관찰경험이 있는 간호대학생의 웰다잉에 대한 인식(r=.194, p=.008)과 사전연명의료의 향서 지식(r=.201, p=.006)은 사전연명의료의향서 태도와 정적 상관관계가 나타난 반면, 임종간호 관찰경험이 없는 간호대학생은 사전연명의료의향서 태도와 웰다잉에 대한 인식(r=.189, p=.029)에서만 정적 상관 관계를 보였다. 따라서 간호대학생의 좋은 죽음과 사전연명의료의향서에 대한 올바른 인식과 긍정적인 태도를 함양시키기 위한 체계적인 교육이 이루질 수 있도록 표준화된 교육프로그램 개발이 필요하다.